Latest / Financial Survival Network / AI vs Bias, Budgets, and ICE - Bill Walton #6310

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AI vs Bias, Budgets, and ICE - Bill Walton #6310 · Financial Survival Network

0:00
Speaker 1: Well, it's a major tool, and you know Russ Russ
0:02
Speaker 1: Vote at Office of Management and Budget is using. It's
0:06
Speaker 1: a lot of the lot of the people inside the
0:09
Speaker 1: administration or I'm sure mapping stuff out with that and
0:12
Speaker 1: this blueprint they call it AI Action Plan, a blueprint
0:16
Speaker 1: front American dominance. And you're thinking, well, technology, computers, stuff
0:20
Speaker 1: like that. No, no, no, it's the whole landscape of
0:24
Speaker 1: what it is.
0:25
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0:29
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0:52
Speaker 4: And welcome.
0:53
Speaker 3: You are listening to watching the Financial Survival Network. I'm
0:57
Speaker 3: your host, Carrie Letz. Lots of things happen. We are
1:01
Speaker 3: in the midst of a revolution if you haven't figured
1:05
Speaker 3: it out yet, and it is the AI Revolution, but
1:08
Speaker 3: more importantly is the AI Governmental Revolution, which I have
1:15
Speaker 3: basically called Trump GPT. This is an administration where much
1:21
Speaker 3: of the work that's being done has been laid out,
1:24
Speaker 3: planned out by whatever AI Trump is using, and it's
1:29
Speaker 3: certainly not chat GPT. That's the toned down version that
1:33
Speaker 3: us in the public get. No, his is fed with
1:36
Speaker 3: all sorts of things. Bill Walton's here with us now
1:39
Speaker 3: to talk about it. Bill, it's great to have you
1:41
Speaker 3: back on the show. It's been a while. So is
1:45
Speaker 3: what is going on the AI basically programmed? It has
1:50
Speaker 3: been laid out.
1:51
Speaker 1: Yeah, Trump is you know, I worked in his transition
1:54
Speaker 1: in twenty sixteen seventeen, and boy, this is a this
1:58
Speaker 1: is night and days he come is he come to
2:00
Speaker 1: town ready for action. And I think part of the
2:03
Speaker 1: part of the crew he brought with him this time
2:05
Speaker 1: that was absent last time is the tech community. And
2:09
Speaker 1: if you remember the inauguration, they had the list of
2:11
Speaker 1: people in the front row, not the list you can
2:14
Speaker 1: see the there all are Jeff Bezot and Zuckerberg, and
2:20
Speaker 1: they got Sanjay whoever the name is, a guy that
2:23
Speaker 1: runs Google uh you know it.
2:25
Speaker 4: They had the entire murderer's row of the top tech talent.
2:29
Speaker 1: And then he brought in David Sachs as is uh
2:32
Speaker 1: as his crypto uh ais are and it's you know,
2:37
Speaker 1: David's billionaire. Several times over is really knows what what's
2:42
Speaker 1: happening in the tech industry. And he's brought in a
2:44
Speaker 1: lot of people. And then of course we had Elon
2:47
Speaker 1: musk Uh with DOGE one. I think we're now in
2:50
Speaker 1: DOGE two without him, but it's still going on.
2:53
Speaker 4: And you know, the number of people he brought.
2:55
Speaker 1: Into understanding systems and money flows and organizations structure and
3:00
Speaker 1: all the all the nitty gritty of how things really work.
3:03
Speaker 1: I don't think we've ever seen anything like it. And
3:06
Speaker 1: you know, they're going into every every nook and cranny,
3:09
Speaker 1: and and of course the deep State is screaming about it.
3:12
Speaker 1: And also the people who were getting the money from program.
3:16
Speaker 1: You know, one hundred million dollars, maybe ten of it
3:19
Speaker 1: makes to the makes it to the intended recipients, and
3:22
Speaker 1: the rest of it goes to the to the intermediaries
3:25
Speaker 1: who all live in big houses in Potomac, Maryland.
3:28
Speaker 4: You know.
3:29
Speaker 1: But the other thing is, I want to get into
3:31
Speaker 1: it with you. He just rolled out last week is
3:34
Speaker 1: what they're calling the AI Action Plan, and it is comprehensive.
3:39
Speaker 1: It's not just about technology, it's about something a lot more.
3:43
Speaker 4: Yeah.
3:44
Speaker 3: Well, yeah, so let's talk about that because their action PROGM.
3:48
Speaker 3: I believe their action program's already been in place from
3:52
Speaker 3: before he stepped into office, because remember inauguration day, January twentieth,
3:58
Speaker 3: twenty twenty five, there literally takes his hand off the Bible,
4:03
Speaker 3: picks up a pen, starts signing executive orders. Now, you
4:08
Speaker 3: know from being in the loop there, you don't just
4:11
Speaker 3: create an executive order. It has to be there's got
4:14
Speaker 3: to be a memorandum. It's got to be thoroughly researched
4:17
Speaker 3: out in terms of constitutional issues as well as statutory
4:23
Speaker 3: issues as well as everything else other executive orders that
4:28
Speaker 3: it's overruling or modifying. And that alone could be hundreds
4:32
Speaker 3: of hours of work, and he had several hundred to
4:35
Speaker 3: them out of the gate. The amount of time that
4:38
Speaker 3: it would have taken to create them if it would
4:41
Speaker 3: have taken a medium sized law firm, probably a year
4:45
Speaker 3: or two. But more importantly, they were all secret, nobody
4:48
Speaker 3: knew that they were coming, and then he just dropped them.
4:51
Speaker 3: So to me, that was proof AI was firmly in
4:55
Speaker 3: the race here.
4:57
Speaker 1: Well, it's a major tool, and you know russ Us
5:00
Speaker 1: vote at Office of Management and Budget is using. It's
5:04
Speaker 1: a lot of the lot of the people inside the
5:06
Speaker 1: administration or I'm sure mapping stuff out with that. And
5:10
Speaker 1: in this blueprint they call it AI Action Plan, a
5:13
Speaker 1: Blueprint for American dominance. And you're thinking, well, technology, computers,
5:17
Speaker 1: stuff like that. No, no, no, it's it's the whole
5:20
Speaker 1: landscape of what it is.
5:22
Speaker 4: It's it's uh.
5:23
Speaker 1: Remember with Biden, they had this whole of government approach.
5:26
Speaker 1: They announced when he came in first day that all
5:30
Speaker 1: of government is going to be focused on two things,
5:33
Speaker 1: mainly diversity, equity and inclusion. Every agency, every sub agency,
5:38
Speaker 1: every every single piece of government supposed to be infused
5:42
Speaker 1: with DEI. And the other was climate change, and everything
5:45
Speaker 1: in the in the in the government, federal government and
5:49
Speaker 1: all related to ng os and organizations that dealt with
5:52
Speaker 1: the government, consultants, et cetera, et cetera, had to be
5:55
Speaker 1: toning the line with you know, implicitly the Paris Accord
5:58
Speaker 1: and all the all the really bad ideas that you know,
6:02
Speaker 1: if you look at look at what's happening to Germany,
6:04
Speaker 1: who's followed climate change, the climate agenda, they're you know,
6:08
Speaker 1: they're they're they're they're practically bank they've seen their GDP
6:11
Speaker 1: not rise it's been falling and it's all and their
6:14
Speaker 1: gas prices I think are like five times what they
6:16
Speaker 1: are here in the United States. So it's a catastrophe. Biden, whoever,
6:22
Speaker 1: or the Biden hologram, I mean, maybe that was a
6:25
Speaker 1: technology that was operating that maybe Bido's Trump used a
6:31
Speaker 1: AI and Biden people had a hologram of Joe.
6:34
Speaker 3: They out.
6:37
Speaker 1: What he's done is that with this AI Action Plan,
6:39
Speaker 1: and it's I encourage everybody to get on and grab
6:42
Speaker 1: the PDF. It's only twenty twenty two to twenty four pages.
6:46
Speaker 1: And the first thing it does is that it instructs
6:50
Speaker 1: the every federal agency to purge itself of the critical
6:55
Speaker 1: race theory and DEI bias and and war the.
7:00
Speaker 4: Rewarding identity over over merit.
7:02
Speaker 1: And it also gets into its not just the government,
7:05
Speaker 1: but also the AI companies, the Google, the UH, you know, everybody, Meta,
7:13
Speaker 1: groc Uh. Everybody's got an AI engine and there are
7:16
Speaker 1: dozens of them.
7:16
Speaker 3: Now.
7:18
Speaker 1: The idea is they're supposed to purge themselves of the
7:21
Speaker 1: of the woke bias that they've had, you know, manifestly.
7:25
Speaker 4: I mean you can't.
7:26
Speaker 1: But with a classic example where I guess somebody asked
7:30
Speaker 1: one of these engines to to draw George Washington. And
7:34
Speaker 1: if they couldn't get George Washington, they couldn't get it
7:36
Speaker 1: to draw a Caucasian George Washington. They were either black,
7:40
Speaker 1: or they were Asian, or they were Indian, or they
7:43
Speaker 1: were something. And the whole thing was to promote diversity
7:46
Speaker 1: over over reality. And uh, you know that kind of
7:51
Speaker 1: thing that you can't do everything by executive order, but
7:54
Speaker 1: I think it's going to be permeating what's happening in
7:57
Speaker 1: this administration.
7:59
Speaker 4: That's really a good thing. He also with this.
8:03
Speaker 1: He is talking now about real energy, not green energy,
8:06
Speaker 1: and you know, the whole, the whole of government approach
8:09
Speaker 1: is working very differently.
8:10
Speaker 3: Now.
8:10
Speaker 1: He's now got the EPA and the Energy Department, Department
8:14
Speaker 1: of Material all working to promote a real energy policy.
8:18
Speaker 1: Because if we're going to be dominant in AI, we're
8:21
Speaker 1: going to have to power it. I mean, use data
8:23
Speaker 1: centers are massive users of electricity, and you know, sometimes
8:28
Speaker 1: as much as a medium sized city. And so if
8:32
Speaker 1: we want to grow that as quickly as as as possible,
8:35
Speaker 1: we're going to need the energy to do it.
8:37
Speaker 4: That's that's part of the plan.
8:39
Speaker 1: I mean there's a lot there's a lot of other
8:41
Speaker 1: other things in here I can get into, but it's
8:44
Speaker 1: you know, it's exciting to see somebody who understands how
8:48
Speaker 1: organizations work, how this whole of government approach. How you
8:52
Speaker 1: can't just talk about, you know, technology, you've got to
8:55
Speaker 1: actually understand the power requirements to drive it. And this
9:00
Speaker 1: shows of evidence of some really smart people involved.
9:04
Speaker 3: Oh for sure, Hey, they had one other. There were
9:06
Speaker 3: three things they had to do, the Dei and all
9:10
Speaker 3: that other stuff, and persecute Trump. That was the three
9:16
Speaker 3: major Hey you forgot that BlimE met Dei and Trump?
9:21
Speaker 4: Right, that was all they cared about. It's madness.
9:25
Speaker 3: That was really the inmates running the asylum here.
9:30
Speaker 4: Yeah.
9:31
Speaker 1: Well, and you know the thing is that there's a
9:34
Speaker 1: you know the thing that we've also we've got this
9:36
Speaker 1: problem with China. China has globalist ambitions, as we know,
9:41
Speaker 1: and President g is probably progressive about that than ever.
9:46
Speaker 1: But yet we've had twenty thirty years of doing business
9:50
Speaker 1: with China and our technology infrastructure was completely interrelated. And
9:56
Speaker 1: China is trying to develop it's artificial intelligence. I shouldn't trying.
10:00
Speaker 1: They have, and they've come out with a pretty powerful
10:03
Speaker 1: model called deep Seek, which at one point it eclipse
10:07
Speaker 1: the models we had here. And I think they've had
10:11
Speaker 1: a very clever strategy. Biden administration said they're not going
10:14
Speaker 1: to be selling chips to China, the advanced chips, but
10:22
Speaker 1: the trumpet what this administration is doing is say, look,
10:25
Speaker 1: we we want to get the rest of the world
10:29
Speaker 1: using our infrastructure. They call it the stack, which involves
10:33
Speaker 1: the computers, the applications, the instructions, all the different pieces
10:38
Speaker 1: of things that go into running an AI system. And
10:43
Speaker 1: the thinking is it's kind of like Apple and Microsoft.
10:46
Speaker 1: You've got different operating systems, and they want to get
10:50
Speaker 1: the rest of the world using the American operating system.
10:54
Speaker 1: And I think it's very clever because once you've got
10:57
Speaker 1: into that one system, you know how hard it is
10:59
Speaker 1: to change from Apple.
11:02
Speaker 4: To Microsoft and so with.
11:06
Speaker 1: And so we don't want them, We don't want China
11:08
Speaker 1: taking advantage of an opening, and so we're going to
11:12
Speaker 1: start selling some ships to China, not the top tier chips,
11:16
Speaker 1: but pretty close, which will give them no incentive to
11:19
Speaker 1: develop their own and if they if we if we
11:22
Speaker 1: execute on the strategy effectively, I think we've got an
11:25
Speaker 1: AI system which will be the world system.
11:29
Speaker 4: Oh yeah, for sure.
11:30
Speaker 3: And you know the use of it in government now
11:34
Speaker 3: and in every aspect. Eighty percent of the lawyers out
11:39
Speaker 3: there are dead men walking and they don't even know it. Bill,
11:43
Speaker 3: I mean, I can do. I had a friend, she
11:46
Speaker 3: goes to a lawyer like I happened to have been
11:50
Speaker 3: a lawyer, retired now. But she wanted to just do
11:52
Speaker 3: a couple of amendments to her will, her trust and
11:57
Speaker 3: put her deed into her condo into the trust. And
12:00
Speaker 3: they wanted thirty five forty five hundred dollars to do it.
12:03
Speaker 3: And say, well, let me take a look. In twenty minutes,
12:07
Speaker 3: I had a full, complete set of documents for her,
12:10
Speaker 3: better than I would have done myself, because normally I
12:13
Speaker 3: would have had some taipos in there that I had
12:14
Speaker 3: to fix. And she went to the court, had a notarized,
12:19
Speaker 3: witnessed filed, no problem. So many of these things it's
12:24
Speaker 3: really going to revolutionize.
12:26
Speaker 4: I'm newer to this.
12:28
Speaker 1: I've only been sort of empower you for the last
12:30
Speaker 1: six months or so. But I'd be interesting to tell
12:33
Speaker 1: people how that works. Because you just take a PDF
12:37
Speaker 1: for a whatever, and you just cut and you just
12:40
Speaker 1: copy and paste it into the app. And then you say,
12:43
Speaker 1: you say, give me a summary, or give me this
12:46
Speaker 1: particular document, or tell me if there are any flaws
12:48
Speaker 1: in the legal reasoning, or whether there's any exposure we
12:52
Speaker 1: have to some risks.
12:53
Speaker 4: Exactly. It spits all that right back at you.
12:57
Speaker 3: Yeah, you'll always have to check it. You can't take
13:00
Speaker 3: any as verbatim. But you know, you know, if it's
13:05
Speaker 3: really a force multiplier, I would call it. I'm about
13:09
Speaker 3: ten times more efficient than I've ever been in my life.
13:12
Speaker 3: And I'll tell you a little secret. If you take
13:14
Speaker 3: a picture of a business card and you tell it,
13:19
Speaker 3: you put it into chat, GPT or not all of them,
13:23
Speaker 3: do it Gemini and tell it to create a v
13:28
Speaker 3: card for your contact file in your in your phone.
13:32
Speaker 3: It'll do it.
13:33
Speaker 4: You're done. Yeah, it's great.
13:35
Speaker 3: Yeah.
13:37
Speaker 1: My story about check fact checking it is that I
13:40
Speaker 1: was last year I gave a speech to at thee
13:44
Speaker 1: at Cepack and the speech was on DEI and whether
13:49
Speaker 1: how pernicious DEI was two organizations who were forced to
13:54
Speaker 1: hire an identity rather than merit. And I always wanted
13:57
Speaker 1: to make the case that, uh, you know that that
14:00
Speaker 1: the DEI was hurting the performance of companies, and so
14:05
Speaker 1: I can't remember which one. Maybe chat gpt it, maybe
14:07
Speaker 1: in Claude. Anyway, I said, well, tell me about this
14:11
Speaker 1: landscape and can you give me the relationship between DEI
14:14
Speaker 1: and organization performance? And it came back with this great report,
14:20
Speaker 1: but it had this paragraph in there and they said, well,
14:23
Speaker 1: there's a study that Harvard put out, you know, almighty Harvard,
14:28
Speaker 1: that said that companies that were not using DEI for
14:32
Speaker 1: hiring at forty percent higher returns than companies that did.
14:37
Speaker 1: And I thought, this is it.
14:40
Speaker 4: This is paid. All I need is this nice speech.
14:45
Speaker 1: I've made the argument, and then so you know, you
14:48
Speaker 1: got to follow up with these things.
14:50
Speaker 4: I typed in.
14:50
Speaker 1: I said, well, this Harvard study I had never heard about,
14:53
Speaker 1: can you tell me some more about it? And it
14:55
Speaker 1: came back and it said, I apologize, there is no
14:59
Speaker 1: Harvard study.
15:02
Speaker 4: Well there should have been.
15:05
Speaker 1: But you know, so had I had I not, had
15:08
Speaker 1: I just taken it at phase value, I would have
15:10
Speaker 1: been up giving a speech in front of on TV.
15:13
Speaker 1: It's a couple million people and just add something completely
15:16
Speaker 1: dead wrong. I believe that, you know, I so believe
15:20
Speaker 1: that's probably true. And what AI does sometimes is it
15:25
Speaker 1: wants to please you, and so it'll come back with
15:27
Speaker 1: the answers that it thinks you like.
15:30
Speaker 4: And in this case they went a.
15:32
Speaker 3: Little overboard a little bit, but yeah, it is you
15:37
Speaker 3: have to tell it. Put on your non confirmation bias
15:41
Speaker 3: hat I want the neutral, absolute truth because it is
15:45
Speaker 3: programmed to please and you know, if it's something important,
15:49
Speaker 3: you got to prompt it and tell it. Cut the bs,
15:52
Speaker 3: give me the hardcore truth. I can take it. And
15:56
Speaker 3: that's the key, you know.
15:58
Speaker 1: That's the thing about the tru is built and the
16:01
Speaker 1: guys who wrote this, this twenty four page plan have
16:04
Speaker 1: it written in there a couple of pages on how
16:07
Speaker 1: it's supposed to really rid itself of of the of
16:10
Speaker 1: the woke bias that it's had, and DEI and and
16:13
Speaker 1: all the liberal liberal leanings that these these you know,
16:17
Speaker 1: most most of the people that that train these molecules
16:20
Speaker 1: or you know, have purple hair and nose rings. So
16:22
Speaker 1: they're they're yeah, they're they've got a point of view,
16:25
Speaker 1: it's just different from mine. And they'll come back with
16:29
Speaker 1: an answer. And it just happened to me this morning.
16:31
Speaker 1: I was researching on something and said, uh, it was
16:35
Speaker 1: just unbelievable. Oh, it was actually this, this action plan, unbelievably.
16:40
Speaker 4: Critical of what it was.
16:42
Speaker 1: And I typed back and I said, look, I'm not
16:44
Speaker 1: a Marxist, I'm not a left, I'm not on a left.
16:47
Speaker 1: Why don't you give me an analysis, an objective analysis
16:50
Speaker 1: that it's skeptical of DEI and skeptical of climate. And
16:57
Speaker 1: you know what it did. I mean, it came right
16:59
Speaker 1: back act with something that was that was very balanced,
17:02
Speaker 1: I thought, and had a lot of good facts in it.
17:05
Speaker 1: Then it seemed to rid itself from its initial liberal bias.
17:10
Speaker 1: So I think there's for people to say, we can't
17:13
Speaker 1: use this because it's all been coded by or trained
17:16
Speaker 1: by people who are out don't agree with it.
17:18
Speaker 4: That's not true. You can.
17:21
Speaker 1: You can interact with it in a way and shape it,
17:23
Speaker 1: to shape it to what you want it to be.
17:27
Speaker 4: Let me tell you a little secret.
17:28
Speaker 3: The more you use it, the more it writes things
17:31
Speaker 3: in your voice, so it overcomes the inherent biases that
17:37
Speaker 3: have been programmed into it. And you can always say,
17:41
Speaker 3: pretend you are Socrates or Aristotle, how would you look
17:47
Speaker 3: at this thing? So you can always give it a hypothetical.
17:50
Speaker 1: I asked mine last week to pretend I was Clint Eastwood.
17:54
Speaker 1: Yeah it got I got some great stuff back.
17:58
Speaker 3: I'll bet I bet it actually can write humor. Now
18:02
Speaker 3: it's not quite to the human level, but it's getting there.
18:07
Speaker 3: And all right, so we got some things to look for.
18:11
Speaker 4: Ordering off topic, but it's all interesting.
18:14
Speaker 3: Yeah yeah, so AI though, but that is the future.
18:21
Speaker 3: And it's amazing how fast the government has, how it's
18:25
Speaker 3: gripped the government. Even with the unions, the bureaucracies, the
18:30
Speaker 3: bureaucrats fighting a tooth and nail, they've been pretty much helpless.
18:35
Speaker 1: One of the one of the fights that lays ahead
18:38
Speaker 1: is between the federal government and the state governments. And
18:40
Speaker 1: the last was the one big beautiful bill had a
18:44
Speaker 1: piece in there that said that it banned states from
18:48
Speaker 1: regulating artificial intelligence. Lots of pushback on that. I think
18:54
Speaker 1: like a ninety nine zero vote to get rid of
18:58
Speaker 1: that piece of it because sty didn't want to give
19:00
Speaker 1: see their power to the federal government. And and I
19:04
Speaker 1: understand you've got to understand that thinking because most people
19:07
Speaker 1: who think about this, this AI and all the related software,
19:11
Speaker 1: they're thinking in terms of liberal bias, and they're also
19:14
Speaker 1: thinking in terms of you know, the the sex sex
19:18
Speaker 1: education and all the different things and and TikTok and
19:21
Speaker 1: all the egregious stuff that kids can see from that.
19:25
Speaker 1: And so states wanted to retain their right to keep
19:30
Speaker 1: technology providers from offering up, you know, really bad stuff.
19:34
Speaker 1: And I totally agree with that, but it's going to
19:36
Speaker 1: be a you know, stay tuned. There's been a lot
19:39
Speaker 1: of negotiations between between the FEDS and the states.
19:43
Speaker 4: Uh And.
19:45
Speaker 3: By the way, I was working with the AI, it
19:48
Speaker 3: was kind of my idea, but I ran it through
19:50
Speaker 3: the AI. How to solve the problem of these sanctuary
19:54
Speaker 3: cities because they're actively resisting they won't give ICE access
20:01
Speaker 3: to the jails, which is there's two hundred thousand felons,
20:05
Speaker 3: foreign fellons sitting in our county and city municipal jails.
20:12
Speaker 3: And what we came up with was use the government's
20:16
Speaker 3: power of eminent domain and simply condemn a portion of
20:23
Speaker 3: the jail or the prison for their use and access
20:27
Speaker 3: to their prisoner tracking system. They have to do it
20:32
Speaker 3: the laws, it's inviolate Fifth Amendment. All the government has
20:37
Speaker 3: to do is just pay them some money, whatever the
20:40
Speaker 3: just compensation is. And that's how you get past them
20:43
Speaker 3: all and they can't even win in a lawsuit. You
20:46
Speaker 3: know that eminent domain is so ingrained and it's just
20:51
Speaker 3: not used generally against other governmental entities, but there is
20:56
Speaker 3: no limitation on it being used for that.
20:59
Speaker 1: Well, I think you've got the Justice Department on speed dial,
21:02
Speaker 1: because that.
21:03
Speaker 4: Would be you know, are out of the box, could
21:07
Speaker 4: be really interesting. They wouldn't know what hit them.
21:10
Speaker 3: I sent I say, whoever, they're public, they won't listen,
21:15
Speaker 3: but maybe it'll get to somebody. I figure I'll publish
21:19
Speaker 3: an article on it shortly, because basically there's thirty forty
21:24
Speaker 3: people stealing from my articles that I know about, So
21:27
Speaker 3: maybe the word will get out then. But that's the
21:30
Speaker 3: way to do it. You don't have to go to court.
21:33
Speaker 3: You know, there's not even a notice requirement under eminent domain.
21:37
Speaker 3: They can literally walk in there with their rid of
21:41
Speaker 3: seizure and start working today.
21:45
Speaker 4: Literally.
21:46
Speaker 1: Well think about it, eminent, no dame, imminent domain. That
21:50
Speaker 1: may be something that has to happen or might happen
21:53
Speaker 1: with these data centers.
21:55
Speaker 4: You know, the.
21:57
Speaker 1: Chinese are building data centers or you know, just dozens
22:02
Speaker 1: a week. It seems like exaggerated, not by much, and
22:05
Speaker 1: you know, you Northerne where I live, we've got more.
22:10
Speaker 1: We're the data center capital in the United States. And
22:13
Speaker 1: I think they kind of sprung up and up and
22:15
Speaker 1: with that overnight without people noticing. But I think there's
22:19
Speaker 1: going to I think there's going to be a lot
22:20
Speaker 1: of pushback on rapid escalating the number of data centers
22:24
Speaker 1: we've got, and it may.
22:26
Speaker 4: Be imm in a domain is one of the ways
22:28
Speaker 4: that happens.
22:29
Speaker 1: I mean, I'm ambivalent because you you know, we need
22:32
Speaker 1: we need the technology. But on the other hand, I
22:35
Speaker 1: like the natural beauty that they're not very good looking.
22:38
Speaker 1: They to do a little marketing and make them look
22:41
Speaker 1: a little better so they'd be more inviting.
22:44
Speaker 3: Yeah, well, they kind of want to just blend in.
22:47
Speaker 3: They're hard sites. They've got military level security in these places,
22:52
Speaker 3: and they're trying not to stand out. But I know
22:56
Speaker 3: what you're saying, and you know, I think that the
23:01
Speaker 3: policies will evolve. The main limitation here now is the
23:04
Speaker 3: electrical grid. They'll have to start building their own generators
23:10
Speaker 3: at this rate, and maybe you know what, build them
23:14
Speaker 3: on Indian reservations where none of the laws and regulations
23:18
Speaker 3: apply from the US. They could be building power plants
23:22
Speaker 3: there and it's sovereign tribal land.
23:25
Speaker 4: Right.
23:26
Speaker 1: Well, we're never going to get the Redskins renamed. If
23:29
Speaker 1: we put a nuclear power plant on, that's just going
23:36
Speaker 1: to be another grievance.
23:38
Speaker 4: I'm not so sure.
23:39
Speaker 3: Well, you know they've got casinos now. It basically got
23:44
Speaker 3: all the money back and now make some money off
23:47
Speaker 3: of a nuclear power right.
23:51
Speaker 4: Well, so it's safer.
23:52
Speaker 1: It was always safe, but now it's really safe, and
23:55
Speaker 1: it's now something we've.
23:57
Speaker 4: Got to look at.
23:58
Speaker 1: And they for sure, the tech companies are building, you know,
24:01
Speaker 1: they're they're contracting for their own many many reactors now
24:05
Speaker 1: to go with each data center or have them.
24:09
Speaker 3: Is because, like you said, they're using the same energy
24:11
Speaker 3: consumption as a small city. Well, appreciate your coming on, Bill.
24:16
Speaker 3: Make sure you check out Bill at the Bill waltonshow
24:19
Speaker 3: dot com. The links in the show notes to this
24:21
Speaker 3: interview on Financial Survival Network dot com. Always appreciate you
24:26
Speaker 3: coming on. We'll talk to you again real soon.
24:28
Speaker 2: Great, thanks for having me, Thanks for listening to carry
24:31
Speaker 2: Letz's Financial Survival Network, your solution to today's trying times.
24:36
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24:41
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